Department of Industrial Engineering and Management Collaborates with the Bachelor Program in Industrial Artificial Intelligence to Receive the Honorable Mention Award in the Technology Application Division at 2026
Congratulations! Advised by Professors Kun-Huang Chen and Calvin K. Yu of the Department of Industrial Engineering and Management, students Lin Ching-Chan, Li Ting-An, and Chiang Chang-Che received the Honorable Mention Award in the Technology Application Division at the 2026 21st Warring States Strategy National Innovation and Entrepreneurship Competition
Competition Overview
The 2026 21st Warring States Strategy National Innovation and Entrepreneurship Competition aims to foster innovation and entrepreneurship among young talents while promoting industry–academia collaboration. The competition encourages students to integrate technological innovation, business models, and market demands into entrepreneurial proposals with both innovation and practical application value. Through the competition, participants develop interdisciplinary integration, innovative thinking, and practical implementation capabilities, making it one of Taiwan's representative national innovation and entrepreneurship competitions.
A total of 269 teams from across Taiwan participated in this year's competition, which featured three divisions: the Technology Application Division, the Innovative Service Division, and the Startup Enterprise Division. The competition covered a wide range of fields, including artificial intelligence, the Internet of Things (IoT), green technology, information and communications technology (ICT), biotechnology and healthcare, financial technology (FinTech), digital services, smart commerce, and regional revitalization. The competition consisted of two stages: a preliminary document review followed by a final oral presentation. Projects were evaluated by a panel of experts based on innovation, technical feasibility, business model, market demand, and team execution capability.
A total of 29 teams advanced to the final round, representing a finalist rate of approximately 10.8%. The highly competitive selection process required participating teams to demonstrate comprehensive innovation, strong technical capability, commercial feasibility, and effective presentation skills to stand out among all entries. In addition to recognizing outstanding projects, the competition also provides startup incubation, entrepreneurship mentoring, and investment networking opportunities to support the commercialization of innovative research outcomes and entrepreneurial development.
Award Achievement
A collaborative team from the Department of Industrial Engineering and Management and the Bachelor Program in Industrial Artificial Intelligence participated in the 2026 21st Warring States Strategy National Innovation and Entrepreneurship Competition with the research project “GuYan Aesthetics — Automatic Landmark Annotation System for Lateral Cephalometric X-ray Images.” After completing the preliminary document review, professional evaluation, and final oral presentation, the team received the Honorable Mention Award in the Technology Application Division. The project was recognized by the judging committee for its technological innovation, clinical application value, and future development potential, demonstrating outstanding interdisciplinary research capability and innovative practice.
Award Recipients
Honorable Mention — Technology Application Division
- Lin Ching-Chan, Li Ting-An, and Chiang Chang-Che (a collaborative project between the Department of Industrial Engineering and Management and the Bachelor Program in Industrial Artificial Intelligence)
- Advisors: Prof. Kun-Huang Chen and Prof. Calvin K. Yu
Research Highlights
This research focuses on the fields of dentistry, orthodontics, and craniofacial healthcare. To address the conventional workflow in which specialists manually identify and annotate anatomical landmarks on lateral cephalometric X-ray images, the research team developed an Automatic Landmark Annotation System for Lateral Cephalometric X-ray Images by incorporating artificial intelligence-based image recognition technology. The system rapidly identifies key craniofacial skeletal and soft tissue landmarks, significantly reducing manual annotation time, minimizing interpretation discrepancies caused by differences in clinical experience, and improving the efficiency, consistency, and objectivity of cephalometric analysis.
A key innovation of this research is the integration of artificial intelligence, medical image analysis, and craniofacial aesthetic evaluation into a unified intelligent system. By transforming the traditionally experience-dependent cephalometric analysis process into an automated, intelligent, and standardized workflow, the research demonstrates both technical innovation and practical application value. In addition to developing the core AI model and system architecture, the research team also considered clinical workflow, user requirements, and future implementation feasibility to ensure the practical applicability of the proposed system.
Throughout the project, the team conducted literature reviews, organized medical imaging datasets, developed artificial intelligence models, performed system testing and validation, and designed potential application scenarios. Continuous collaboration and discussions with domain experts enabled the team to refine the system while strengthening interdisciplinary integration, teamwork, independent learning, and problem-solving capabilities.
Significance of the Award
Receiving this award not only recognizes the research project “GuYan Aesthetics — Automatic Landmark Annotation System for Lateral Cephalometric X-ray Images” for its contributions to AI-assisted medical applications, clinical workflow improvement, and innovative technological development, but also demonstrates Ming Chi University of Technology's achievements in promoting interdisciplinary education, artificial intelligence applications, and innovation-driven research.
The Department of Industrial Engineering and Management extends its sincere congratulations to the award recipients and their advisors, and looks forward to the continued advancement of the research, further strengthening the integration of innovative technologies with clinical practice and creating greater value for the field of intelligent healthcare.
Team Remarks
The research team expressed their gratitude for receiving recognition in this highly competitive national innovation and entrepreneurship competition. They sincerely thanked Professor Kun-Huang Chen and Professor Calvin K. Yu for their dedicated guidance and continuous support in research direction, technical methodology, and practical applications, which enabled the team to further advance its research in artificial intelligence and medical imaging.
The team also expressed appreciation to the Department of Industrial Engineering and Management and the Bachelor Program in Industrial Artificial Intelligence for providing valuable interdisciplinary learning opportunities and research resources, allowing members from different academic backgrounds to collaborate effectively and apply their knowledge to solving real-world challenges in medical image analysis.
Team members noted that the research involved multiple rounds of model refinement and system optimization. Although the process was challenging, it greatly enhanced their interdisciplinary collaboration, problem-solving ability, and practical implementation skills. Moving forward, the team will continue advancing artificial intelligence technologies and further promote the application of their research in clinical practice and intelligent healthcare, with the goal of creating greater value for society and the healthcare industry.
